Response of the Coastal Ocean to Tropical Cyclones

Selection of our books indexed in the Book Citation Index in Web of Science™ Core Collection (BKCI)

Interested in publishing with us?

Contact book.department@intechopen.com

For more information visit www.intechopen.com Open access books available

Countries delivered to _{Contributors from top 500 universities}

International authors and editors

Our authors are among the

most cited scientists

Downloads

We are IntechOpen,

the world’s leading publisher of

Open Access books

Built by scientists, for scientists

12.2%

122,000

135M

TOP 1%

154

Response of the Coastal Ocean to

Tropical Cyclones

Zhiyuan Wu and Mack Conde

Abstract

The Northwest Pacific and the South China Sea region are the birthplaces of most monsoon disturbances and tropical cyclones and are an important channel for the generation and transmission of water vapor. The Northwest Pacific plays a major role in regulating interdecadal and long-term changes in climate. China experiences the largest number of typhoon landfalls and the most destructive power affected by typhoons in the world. The hidden dangers of typhoon disasters are accelerating with the acceleration of urbanization, the rapid development of economic construction and global warming. The coastal cities are the most dynamic and affluent areas of China’s economic development. They are the strong magnetic field that attracts international capital in China, and are also the most densely pop-ulated areas and important port groups in China. Although these regions are highly developed, they are vulnerable to disasters. When typhoons hit, the economic losses and casualties caused by gale, heavy rain and storm surges were particularly serious. This chapter reviews the response of coastal ocean to tropical cyclones, included sea surface temperature, sea surface salinity, storm surge simulation and extreme rainfall under the influence of tropical cyclones.

Keywords: tropical cyclones, typhoons, coastal ocean dynamics, sea surface

temperature, sea salinity, extreme rainfall; air-sea interaction

1. Introduction

Tropical cyclones are some of the most destructive natural disasters, which often bring huge losses to people’s life and property. The Northwest Pacific and the South China Sea regions are the birthplaces of most monsoons and typhoons and are important channels for the generation and transmission of water vapor [1–3]. The influence of a typhoon on a region is often not only a heavy wind disaster. At the same time, the heavy rain, extreme waves, storm surges, and coastal inundation that are produced will also have a huge impact on the region, which will result in the formation of a typhoon disaster chain [4–6].

There are more than 20 typhoons in the Pacific Northwest each year, which is the region with the most frequent typhoon activity in the world. China, which has a long coastline on the west coast of the Pacific Ocean, is the country with the most frequent typhoon attacks in the world, with an average of 9.3 per year, resulting in a direct economy every year. The losses exceeded 100 billion yuan and the number of casualties reached thousands. Therefore, a comprehensive understanding and in-depth study of the typhoon process, especially the improvement of typhoon

monitoring and early warning capabilities, is an inevitable requirement for the disaster reduction work of our national defense platform.

In the past few decades, from the perspective of atmospheric science, the research on the mechanisms of typhoon development, numerical simulation and forecasting has made great progress. However, as a strong atmospheric process, typhoons have violent disturbances, the cumulative effects of many typhoons will also have a significant impact on the ocean’s thermo-salt structure and ocean circulation and global ocean heat transport. These effects will counteract typhoons, affect not only the intensity and path of specific typhoons, but also the global the low-frequency variation characteristics of the typhoon. But so far, the lack of on-site observation data during the typhoon has made the study of multi-scale response and feedback mechanism of typhoon not deep enough. People cannot simulate the interaction process between the ocean and typhoon well. The reliable initial ocean field required for typhoon forecasting has greatly limited the further improvement of typhoon research and forecasting capabilities.

The typhoon is a devastating natural disaster that has long been a focus of attention in the field of atmospheric and oceanic research [7, 8]. With the rapid development of computers, the numerical simulation of typhoons is becoming increasingly developed, and the model resolution is getting higher and higher [9]. The Pacific Northwest is the most concentrated area of global tropical cyclones (also known as typhoons in the Pacific Northwest). China is located on the west coast of the Pacific Ocean, with a long coastline and a special geographical posi-tion on the southeast coast. It has been hit by typhoons frequently, with an average annual rate of 9.3, ranking first in the world. The typhoon is one of the most serious natural disasters in China [10–12]. The annual direct economic losses caused by the typhoon are nearly 100 billion yuan, and the number of casualties is thousands. On the one hand, the strong winds and heavy rains that landed in the typhoon brought huge meteorological disasters to the vast areas of China, posing a huge threat to the people’s lives, property and production activities. On the other hand, huge waves and storm surges caused by typhoons have also caused serious marine disasters, which have caused major safety hazards and economic losses to offshore opera-tions and transportation, coastal protection projects, marine fisheries and marine aquaculture. Coastal areas are one of China’s most economically developed regions, which are vulnerable to the effects of marine disasters [13–16].

Therefore, studying the movement mechanism of typhoon, accurately forecast-ing the influence of typhoon and reducforecast-ing storm surge disasters have important social value for the protection of national economic development and people’s lives and property safety.

From the perspective of practical application, improving the monitoring and forecasting ability of typhoon is the fundamental goal of typhoon research. Due to the multi-scale characteristics of the interaction between ocean and typhoon, the ocean data assimilation for the typhoon process should also be multi-scale. Due to extreme sea conditions under typhoon conditions Harsh, satellite remote sens-ing data has become an important data source for assimilation. However, remote sensing can only provide sea surface information. At present, people usually use the projection mapping method and multiple dynamic constraints to map surface infor-mation to the ocean subsurface and assimilate. Some assimilation methods still lack universality. How to establish a sea surface data assimilation method that considers more dynamic constraints and is more suitable for typhoon conditions is an impor-tant part of the future sea-air coupled data assimilation research. For the actual operational forecast of the typhoon, International or domestic still rely mainly on numerical weather patterns. After long-term exploration and improvement, the main forecasting modes are for atmospheric processes (such as atmospheric

boundary layer physical properties, cloud physical processes, atmospheric tur-bulent energy calculations, cumulus convective parameterization schemes, etc.). There has been considerable progress in simulation and forecasting capabilities. The understanding of ocean feedback is insufficient. The current typhoon numeri-cal (weather) forecasting model still has significant errors, especially for typhoon intensity and wind and rain distribution forecast. The United States is the first to develop a sea-air coupled hurricane (the Atlantic called hurricane, the Pacific Ocean). After years of operational operation, the improved air-sea coupled model has improved both the intensity of the hurricane and the path prediction compared with the traditional atmospheric model.

In summary, the interaction between the ocean and typhoon has obvious scientific significance and important practical value. At various time and space scales, people’s understanding of the mechanism of the ocean response to typhoon and modulation is obviously insufficient. At present, air-sea coupling The model’s ability to simulate, assimilate and forecast the typhoon process is still very lim-ited, which has become a bottleneck problem to further improve the typhoon forecasting capability.

2. Sea surface temperature response to tropical cyclones

With an increase in sea surface temperature (SST), the total number of tropical cyclones in the North Pacific, Indian Ocean, and southwest Pacific Ocean decreases, and the cyclone development period shortens, but the number and proportion of tropical cyclones reaching super typhoon intensity increases greatly [17].

In the study of air-sea interaction, the response of the upper ocean to typhoons is a hot topic [18]. Typhoon transit can cause ocean mixing and upwelling, and sea surface cooling is the main feature [19]. The cooling caused by a typhoon is mainly related to the intensity, propagation speed of the typhoon, and the ocean condition before typhoon arrival, such as the location of cold vortices, the thermodynamic structure of the upper ocean, the position of the 26°C isotherm, etc.

Cyclonic wind stress results in the upwelling of sea water in the center of the path, the decrease of sea surface temperature, and the heat transfer from the surface to the atmosphere. Strong winds cause turbulent mixing of the ocean, entraining cold water from the lower layer into the mixing layer, resulting in cooling of the upper sea water and deepening of the mixing layer [10–21]. Inclusive mixing distur-bances cause 85% of irreversible ocean heat to enter the atmosphere; direct air-sea interaction plays a minor role in surface cooling. Mixed layer plays an important role in sea surface cooling [22–24]. After typhoon transit, the ocean response is mostly the internal nonlocal baroclinic process caused by wind stress. In baroclinic driving stage, the flow of mixing layer 1 m/s is induced by vertical mixing, and the flow of near-inertial oscillation frequency wave into thermocline, which lasts for 5–10 days. The barotropic driving process usually results in geostrophic currents and associ-ated sea surface height changes.

Using the observed data to study the ocean response to typhoons is a common research method. However, due to the severe weather conditions during the transit of tropical cyclones, it is very difficult to obtain fixed-point observation data. There is a strong mass transport, energy exchange, and interaction between the atmo-sphere and the ocean during a typhoon process [25, 26] (Figure 1).

The response mechanism of the ocean to typhoon can be considered from two levels. First, the typhoon-driven mesoscale three-dimensional ocean circulation will have a significant impact on the local dynamics and thermal processes. The resulting near-inertial internal waves and vortices can input a large amount of mechanical

energy into the ocean, thus significantly enhancing the local The ocean mixes and changes the warm salt structure of the upper ocean. Second, in the interior of the ocean, the energy input into the ocean by typhoons in the form of near-inertial internal waves travels along the oceanic thermocline to distant places, such as the entire tropical Pacific. During the propagation process, they interact nonlinearly with the original internal waves and near-inertial oscillations inside the ocean, which affects the ocean basin scale and even the global energy distribution, and leads to an increase in ocean mixing rate in some specific regions. The modulation of the typhoon by the ocean can also be considered from two scales. On the weather scale, the ocean plays a very important role in the movement and action of typhoons.

The maturity stage is mainly characterized by negative feedback that reduces the sea surface temperature. However, when the upper ocean warm water is thicker, the typhoon transit will not cause obvious sea temperature anomaly, and the lack of negative ocean feedback can cause the typhoon to strengthen. The interac-tion between the ocean mesoscale process and the typhoon is currently a focus of typhoon research. Usually, the warm vortex can quickly strengthen the typhoon, and the cold vortex can quickly weaken the typhoon. At the climate scale, global warming and interannual and interdecadal variations of climate can cause changes in ocean circulation and thermal conditions, resulting in low-frequency modulation of the intensity and frequency of typhoons.

3. Sea surface salinity response to tropical cyclones

The typhoon is one of the most serious natural disasters that affects the coastal ocean environment in China [35, 36], especially in the eastern and southern estuaries, such as the Yangtze River Estuary [37] and the Pearl River Estuary [27, 28, 38, 39]. During a typhoon, the coupling of various dynamic factors, such as wind, waves, storm surges, and river runoff, greatly enhances the mass and energy exchange of various interfaces in the ocean and is accompanied by heavy rain and storm runoff on the surface [31, 32, 34, 40]. Scouring can transport a large

Figure 1.

The spatial distribution of change in sea surface temperature (ΔSST) in the northern area of the South China Sea under the influence of typhoon Kai-tak (2012).

amount of minerals from the land to an estuary offshore, causing sudden changes in the water quality of the estuary, which may have an important impact on the marine ecological environment [41–43].

On the one hand, typhoon transit strengthens the mixing process of offshore water [44–46]. On the other hand, the heavy rainfall brought by a typhoon rapidly increases river runoff into the sea, and a large amount of land-based materials are washed away and brought into the estuary offshore area [47–50]. These changes due to the influence of a typhoon significantly affect the physical, chemical and biological processes of estuarine offshore waters, which in turn have an impact on the structure and function of the ecosystem [51–53]. Studying the changes of the estuarine nearshore environment under the influence of a typhoon and its ecologi-cal effects are of great importance for further understanding the evolution process of ecosystems in this region on a long-term scale [8, 54].

Field observations show that the salinity of the surface water of an estuary usu-ally shows a sharp change during a typhoon and the resulting rain, which graduusu-ally rises after entering the recovery period [8, 55–57]. During typhoon crossing, the disturbance caused by strong winds strengthens the mixing process of the estuary and its adjacent waters. However, this process has a passing impact on the water environment, and the runoff diluting water expansion and the external seawater intrusion play a greater role in changing the water environment after a typhoon. Among these, the strengthening of a typhoon after the expansion of fresh water greatly affects the upper water, the upper salinity decreases after the typhoon, and the nutrient salt concentration increases significantly. External seawater intrusion substantially changes the bottom water environment. The salinity of the bottom

Figure 2.

Changes in stratifications salinity influenced by typhoon Kai-tak based on the fully coupled WRF-SWAN-ROMS model (beginning on 2012-08-15 00:00:00 UTC).

layer increases after a typhoon, and the nutrient concentration of nitrogen and silicon decreases.

Typhoons or tropical cyclones are strong wind events in the climate system and are a strong form of air-sea interaction. The strong vertical mixing and wind field generated by a typhoon has a major impact on the upper ocean dynamics and ecosystem [58]. Due to typhoons, there is a decrease in sea level, a decrease in sea surface temperature, an increase in phytoplankton blooms and a decrease in primary productivity, which also affect marine fisheries [59–61]. Typhoons mainly affect the marine ecological environment through two physical mechanisms: (1) after a typhoon, a cold vortex is formed, causing seawater to upwell and the lower layer of cold nutrient water is transported to the upper layer [62, 63]; and (2) the typhoon intensifies the vertical mixing of the upper ocean by a strong wind process [64–67].

At present, most research on the sea surface salinity (SSS) response to typhoons is limited to the estuary area. According to the physical and biochemical environ-mental conditions of the estuary, SSS may show an upward or downward trend after typhoon transit [2, 22, 29, 30, 68–76]. However, studies on marine ecological factors, especially SSS and the response to typhoon transit, are limited and have not been discussed in detail [77–80]. The South China Sea (CSC) is the largest marginal sea in the Pacific Northwest, and is also a frequent typhoon zone, but it is difficult to obtain measured data during typhoons.

Due to the harsh meteorological conditions during typhoon transit, the use of on-site observation methods in an estuary to study the changes in the marine environment before and after a typhoon is very limited. The numerical simulation method is an effective way to study the distribution characteristics of fresh and salt water in an estuary under the influence of a typhoon (Figure 2).

4. Storm surge modeling during tropical cyclones

The Northwest Pacific and the South China Sea region are the birthplaces of most monsoons and typhoons and are an important channel for the generation and transmission of water vapor [18, 81–85]. The Northwest Pacific plays a major role in regulating interdecadal and long-term changes in climate [49, 86, 87]. China is the region with the largest number of typhoons and the most destructive power affected by typhoons in the world [88, 89].

Compared with large-scale phenomena such as global climate change, small- and medium-scale phenomena such as typhoons and thunderstorms have an even greater impact on people’s production and life [6, 90, 91]. Typhoons and hur-ricanes present some of the greatest threats to life and damage to property [92]. The influence of a typhoon on a region is often not only a heavy wind disaster. At the same time, the heavy rain, extreme waves, storm surges and beach erosion [24] that are produced will also have a huge impact on the region, which will result in the formation of a typhoon disaster chain [19, 33, 93, 94]. Therefore, studying the movement mechanism of typhoon, accurately forecasting the influence of typhoon and reducing storm surge disasters have important social value for the protection of national economic development and human and property safety.

Tropical cyclones (TCs) present some of the greatest threats to life [25, 95–98] and damage to property [99]. The SLOSH model was widely used in storm surge simulation in seas, lakes, and on land. Blumberg and Mellor (1987) developed the POM model to simulate large-scale ocean and coastal water levels, and flow field changes. Many ocean models have been developed and used for the simulation of storm surges, such as the ECOM model, ROMS model, CH3D-IMS model, CEST model, SELFE model, Delft3D model, ADCIRC model and FVCOM model. They

have achieved very good results and laid the foundation for understanding the dynamic mechanism of storm surges. The development of a coupled atmospheric and ocean model had significant effects on improving the accuracy of numerical prediction. The establishment of a coupled atmosphere and ocean model is an effec-tive method to solve this problem (Figure 3).

The typhoon numerical model is the focus of typhoon research and the key to typhoon forecasting. The modern model has a certain forecasting ability for the typhoon path, but the forecast of typhoon intensity is still a recognized problem in the international meteorological community. The reason is that, besides the understanding and simulation of the atmospheric environment and the structure of the typhoon itself is not accurate enough, it is also one of the important reasons for the lack of understanding of the complexity and feedback of related ocean dynam-ics and thermal processes. When the typhoon transits, it exerts a great shearing force on the sea surface. The related wave breaking and the interaction between the wind field and the Stokes drifting can generate a large amount of turbulent kinetic energy, which produces a wave below the sea surface. The turbulent enhancement zone enhances the rate of turbulence dissipation in the upper ocean. Therefore, the establishment of a relatively complete marine hybrid scheme is an important way to improve the maritime-coupled typhoon model. In addition, improving the sea surface flux parameterization scheme under strong wind conditions is also an urgent need to improve the model prediction capability. With the rapid increase of computing power and technology, the air-sea coupled typhoon model has broken through the limitations of the early axisymmetric typhoon model and the mixed-layer ocean model, and replaced it with a complete fully coupled ocean

Figure 3.

and atmosphere model. At present, the world’s 1/32 to 1/900 degree resolution ocean model is being developed, which will provide strong support for the study of small-scale processes in the ocean and the multi-scale interaction between ocean and typhoon.

5. Future plans

The interaction between the ocean and the typhoon is a major scientific issue with significant scientific significance and important practical value. In recent years, with the support of national major scientific research projects, China has comprehensively utilized on-site observations from the perspective of air-sea interaction. Research methods such as theoretical analysis, data assimilation, and model prediction systematically study the response and modulation mechanism of the upper ocean to the typhoon, the interaction between the ocean and atmospheric observation system for the typhoon, the ocean mesoscale process and the typhoon, and the ocean to the typhoon. A series of innovations have been achieved in low-frequency response and modulation, physical mechanisms and parameterization of typhoons affecting the upper oceans, ocean multi-source data assimilation and parameter estimation during the typhoon, and ocean-air coupled prediction technology and applications in typhoons and marine environments. These research results will provide a solid theoretical foundation and technical support for further improving the forecast level of typhoon business in China, and make substantial contributions to the major national needs of disaster prevention and reduction.

However, it must also be recognized that China is still very lacking in the research field of interaction between ocean and typhoon, and there is still a big gap with the international advanced level. Compared with the national demand for disaster prevention, there are still obvious deficiencies. Based on the research results, we believe that the major scientific problems and major challenges in the interaction between oceans and typhoons are mainly reflected in the following points.

a. On-site observations are still very scarce. As described in this paper, China has already made important practices in ocean monitoring of typhoon processes and has obtained valuable on-site observations. Especially in the field of sea-air coor-dinated observation, China has launched A useful attempt. After the technology and security conditions are more mature, the typhoon observations coordinated by the sea-air will provide the necessary information for deepening the typhoon research. In addition, due to the harsh sea conditions during the typhoon, the long-term monitoring system for the typhoon process is still missing. The Pacific region and the northern part of the South China Sea are the regions with the highest typhoon in the world, and are almost the only way for typhoons that cause major disasters in our country. Therefore, long-term observation networks are built and maintained in the region (for example, the cross buoy/potential system) An array of observations for the basic structure is an effective means of enhancing ocean and atmospheric monitoring during the typhoon.

b. The response mechanism of the multi-scale circulation system of the upper ocean to the typhoon needs to be deepened. The circulation system of the upper ocean is very complicated. The typhoon prevailing in the northwestern Pacific includes the North Pacific subtropical circulation and tropical circula-tion driven by the trade wind, by buoyancy flux. The shallow transfected circu-lation of the North Pacific, the monsoon-driven circucircu-lation of the South China

Sea, and the small-scale circulation and vortex superimposed on these large-scale circulations. Typhoons can not only affect and even drive small- and medium-scale ocean circulation and vortex on the weather scale. The rotation can also affect the large-scale ocean circulation of the climatic state by chang-ing the thermal salt structure of the upper ocean. Therefore, the response of the multi-scale circulation system of the upper ocean to the typhoon includes various dynamic processes, thermal processes, and nonlinearities between them. Interactions, these are major challenges in the study of the interaction between ocean and typhoon. Reveal the propagation, transfer and dissipation mechanisms of near-inertial energy input into the ocean by typhoons, and understand the mesoscale processes such as ocean vortex and internal waves during typhoon transit. Response characteristics and excitation mechanism to determine the “heat pump” and “cold suction” of the typhoon. The different effects on ocean stratification are the core of solving these problems.

c. A quantitative study on the modulation of typhoon intensity by the dynamic and thermal structures of the upper ocean. The dynamic and thermal struc-ture of the upper ocean determines the magnitude of sensible heat and latent heat flux at the air-sea interface during typhoon transit. The maintenance and development of typhoons, especially the changes in typhoon intensity, depending on the energy and water vapor provided by these fluxes. Therefore, the dynamic and thermal structures of the upper oceans can play an important role in modulating the intensity of typhoons. The path and intensity are closely related, but since the typhoon intensity is directly affected by the energy provided by the ocean and is the weak link of the current typhoon forecast, we should pay special attention to the modulation of the typhoon intensity by the ocean. If the marine environment does not change, this modulation can be easily estimated from the upper maritime structure of the climatic state. But the problem is that the dynamic and thermal structures of the upper ocean are constantly changing at various spatial and temporal scales. Understand the feedback mechanism of the maritime mesoscale process on the typhoon on the weather scale, reveal the climate. The low-frequency variation of the upper ocean circulation and heat content under changing background should be solved by this question. The key to the question.

In short, based on the existing research foundation and experience, we suggest that in the future research on the interaction between ocean and typhoon. On the basis of the mechanism, the typhoon intensity and the forecasting ability of the marine environment are improved, and the predictability of typhoon low-fre-quency variability is evaluated, making China one of the world’s leading researchers in the interaction between ocean and typhoon.

6. Summary

Observations over the past few decades have shown that the frequency, intensity, and duration of tropical cyclones vary over the interannual, interdecadal, and even longer timescales. Global warming caused by human activities and low-frequency natural oscillations in the Earth’s climate system may have an impact on typhoons, but the relative importance of the two is still controversial. Whatever the case, the role of the ocean is unquestionable. Because on a long-term scale, the memory of the climate system is mainly stored in the ocean, any low-frequency variation must be related to the ocean. Previous studies on the low-frequency modulation

of tropical cyclones in the ocean have focused on the correlation analysis between tropical sea surface temperature and typhoon parameters, but such analysis has its limitations. For example, the variation of the total power consumption of the Atlantic tropical cyclone has a good correlation with the variation of the sea surface temperature. If this empirical relationship is brought into the climate model, the total power consumption of the Atlantic tropical cyclone will increase by 3 times by the end of the 21st century. However, if a similar empirical relationship is

established by subtracting the global tropical average from the tropical Atlantic sea surface temperature variation, the total tropical Atlantic cyclone power consump-tion predicted by the climate model remains essentially unchanged. This shows that the Atlantic tropical cyclone has been mainly modulated by natural low-frequency oscillations for the past 30 years.

In addition to high-resolution models, advanced data assimilation techniques are also essential to improve the simulation and forecasting capabilities of the typhoon model. Data assimilation can assimilate data from different sources, different time and space, and different elements into the dynamic model, and obtain an analysis field that is more detailed than the observation data and more realistic than the model results. For the assimilation of ocean data in the typhoon process, the most important problem is how to achieve multi-scale, multi-variable assimilation, extract the information reflecting the multi-scale interaction between ocean and typhoon in the observation system, and ensure the consistency of the model state field correction; The determination of the dependent background field error covariance matrix is also a problem.

In summary, the response and modulation mechanism of the ocean to typhoons is an international frontier proposition for marine and atmospheric science

research. It is extremely challenging in terms of theoretical methods, observation techniques, model development and data assimilation. Taking this as an entry point, it is expected to achieve breakthrough basic research results, develop and improve marine science theories, and promote the interdisciplinary and common development of marine and atmospheric sciences while meeting the major needs of the country.

Acknowledgements

The study was supported by the National Natural Science Foundation of China (Grant Nos. 51809023, 51839002, and 51879015). The partial support also comes from the Open Research Foundation of Key Laboratory of the Pearl River Estuarine Dynamics and Associated Process Regulation, Ministry of Water Resources ([2018] KJ03), and the Research Foundation of Education Bureau of Hunan Province, China (Grant No. 19C0092).

Author details

Zhiyuan Wu1,2,3* and Mack Conde4

1 School of Hydraulic Engineering, Changsha University of Science and Technology, Changsha, China

2 Key Laboratory of Water-Sediment Sciences and Water Disaster Prevention of Hunan Province, Changsha, China

3 School for Marine Science and Technology, University of Massachusetts Dartmouth, New Bedford, MA, USA

4 School of Marine Science and Ocean Engineering, University of New Hampshire, Durham, NH, USA

*Address all correspondence to: zwu@csust.edu.cn

© 2019 The Author(s). Licensee IntechOpen. This chapter is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/ by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

[1] Wu Z, Jiang C, Deng B, et al.

Sensitivity of WRF simulated typhoon track and intensity over the South China Sea to horizontal and vertical resolutions. Acta Oceanologica Sinica. 2019;38:74-83

[2] Chia HH, Ropelewski CF. The interannual variability in the genesis location of tropical cyclones in the Northwest Pacific. Journal of Climate. 2002;15:2934-2944

[3] Wang G, Su J, Ding Y. Tropical cyclone genesis over the South China Sea. Journal of Marine Systems. 2007;68:318-326

[4] Yasuda T, Nakajo S, Kim SY. Evaluation of future storm surge risk in East Asia based on state-of-the-art climate change projection. Coastal Engineering. 2014;83:65-71

[5] Sun J, Wang G, Zuo J. Role of surface warming in the northward shift of tropical cyclone tracks over the South China Sea in November. Acta Oceanologica Sinica. 2017;36:67-72

[6] Lee TL. Neural network prediction of a storm surge. Ocean Engineering. 2006;33:483-494

[7] Almar R, Marchesiello P, Almeida LP, Thuan DH, Tanaka H, Viet NT. Shoreline response to a sequence of typhoon and monsoon events. Water. 2017;9:364

[8] Wu Z, Jiang C, Deng B, Chen J,

Li L. Evaluation of numerical wave model for typhoon wave simulation in South China Sea. Water Science and Engineering. 2018;11:229-235

[9] Emanuel K. Increasing

destructiveness of tropical cyclones over the past 30 years. Nature. 2005;436:686

[10] Webster PJ, Holland GJ,

Curry JA. Changes in tropical cyclone

number, duration, and intensity in a warming environment. Science. 2005;309:1844-1846

[11] Yin X, Wang Z, Liu Y. Ocean response to typhoon Ketsana traveling over the Northwest Pacific and a

numerical model approach. Geophysical Research Letters. 2007;34:21606

[12] Chen W-B, Lin L-Y, Jang J-H, Chang C-H. Simulation of typhoon-induced storm tides and wind waves for the northeastern coast of Taiwan using a tide–surge–wave coupled model. Water. 2017;9:549

[13] Potter H, Drennan WM,

Graber HC. Upper Ocean cooling and air-sea fluxes under typhoons: A case study. Journal of Geophysical Research, Oceans. 2017;122:7237-7252

[14] Li ZL, Wen P. Comparison between the response of the Northwest Pacific Ocean and the South China Sea to typhoon Megi (2010). Advances in Atmospheric Sciences. 2017;34:79-87

[15] Chen Y, Yu X. Enhancement of wind stress evaluation method under storm conditions. Climate Dynamics. 2016;47:3833-3843

[16] Chen Y, Yu X. Sensitivity of storm wave modeling to wind stress evaluation methods. Journal of

Advances in Modeling Earth Systems. 2017;9:893-907

[17] Fan Y, Ginis I, Hara T. The effect of wind–wave–current interaction on air–sea momentum fluxes and ocean response in tropical cyclones. Journal of Physical Oceanography. 2009;39:1019-1034

[18] Gronholz A, Gräwe U,

Paul A. Investigating the effects of a summer storm on the North Sea stratification using a regional coupled

ocean-atmosphere model. Ocean Dynamics. 2017;67:1-25

[19] Mattocks C, Forbes C. A real-time, event-triggered storm surge forecasting system for the state of North Carolina. Ocean Modelling. 2008;25:95-119

[20] Xu S, Huang W, Zhang G. Integrating Monte Carlo and

hydrodynamic models for estimating extreme water levels by storm surge in Colombo, Sri Lanka. Natural Hazards. 2014;71:703-721

[21] Zhang K, Li Y, Liu H. Transition of the coastal and estuarine storm tide model to an operational storm surge forecast model: A case study of the Florida coast. Weather and Forecasting. 2013;28:1019-1037

[22] Black PG, D'Asaro EA, Sanford TB. Air-sea exchange in hurricanes: Synthesis of observations from the coupled

boundary layer air–sea transfer experiment. Bulletin of the American Meteorological Society. 2007;88:357-374

[23] Chen Y, Zhang F, Green BW. Impacts of ocean cooling and reduced wind drag on hurricane Katrina (2005) based on numerical

simulations. Monthly Weather Review. 2018;146:287-306

[24] Liu B, Liu H, Xie L. A coupled atmosphere-wave-ocean modeling system: Simulation of the intensity of an idealized tropical cyclone. Monthly Weather Review. 2010;139:132-152

[25] Mori N, Kato M, Kim S. Local amplification of storm surge by super typhoon Haiyan in Leyte gulf. Geophysical Research Letters. 2014;41:5106-5113

[26] Takagi H, Esteban M, Shibayama T. Track analysis, simulation, and field survey of the 2013 typhoon Haiyan storm surge. Journal of Flood Risk Management. 2017;10:42-52

[27] Yin K, Xu S, Huang W. Effects of sea level rise and typhoon intensity on storm surge and waves in Pearl River estuary. Ocean Engineering. 2017;136:80-93

[28] Wang J, Yi S, Li M. Effects of sea level rise, land subsidence, bathymetric change and typhoon tracks on storm flooding in the coastal areas of Shanghai. Science of the Total Environment. 2018;621:228-234

[29] Warner JC, Sherwood CR, Signell RP. Development of a three-dimensional, regional, coupled wave, current, and sediment-transport model. Computational Geosciences. 2008;34:1284-1306

[30] Warner JC, Armstrong B,

He R. Development of a coupled ocean– atmosphere–wave–sediment transport (COAWST) modeling system. Ocean Modelling. 2010;35:230-244

[31] Charnock H. Wind stress on a water surface. Quarterly Journal of the Royal Meteorological Society. 1955;81:639-640

[32] Taylor PK, Yelland MJ. The

dependence of sea surface roughness on the height and steepness of the waves. Journal of Physical Oceanography. 2001;31:572-590

[33] Lorbacher K, Dommenget D, Niiler PP. Ocean mixed layer depth: A subsurface proxy of ocean-atmosphere variability. Journal of Geophysical Research, Oceans. 2006;111:520-522

[34] Wu Z, Jiang C, Chen J, Long Y, Deng B, Liu X. Three-dimensional temperature field change in the South China Sea during typhoon Kai-Tak (1213) based on a fully coupled

atmosphere–wave–ocean model. Water. 2019;11:140

[35] Zhang Y, Liu L, Bi S, Wu Z, Shen P, Ao Z, et al. Analysis of dual-polarimetric radar variables and

quantitative precipitation estimators for landfall typhoons and squall lines based on disdrometer data in southern China. Atmosphere. 2019;10:30

[36] Huang C, Hu J, Chen S, Zhang A, Liang Z, Tong X, et al. How well can IMERG products capture typhoon extreme precipitation events over southern China? Remote Sensing. 2019;11:70

[37] Guo Y, Zhang J, Zhang L, Shen Y. Computational investigation of typhoon-induced storm surge in Hangzhou Bay, China. Estuarine, Coastal and Shelf Science. 2009;85:530-536

[38] Wu Z, Jiang C, Deng B,

Chen J, Long Y, Qu K, et al. Numerical investigation of typhoon Kai-tak (1213) using a mesoscale coupled

WRF-ROMS model. Ocean Engineering. 2019;175:1-15

[39] Shen Y, Jia H, Li C, Tang J. Numerical simulation of saltwater intrusion and storm surge effects of reclamation in Pearl River estuary, China. Applied Ocean research. 2018;79:101-112

[40] Bilskie M, Hagen S, Medeiros S, Cox A, Salisbury M, Coggin D. Data and numerical analysis of astronomic tides, wind-waves, and hurricane storm surge along the northern Gulf of Mexico. Journal of Geophysical Research, Oceans. 2016;121:3625-3658

[41] Fakour H, Lo S, Lin T. Impacts of typhoon Soudelor (2015) on the water quality of Taipei, Taiwan. Scientific Reports. 2016;6:25228

[42] Wu Z, Jiang C, Deng B, Cao Y. Simulation of the storm surge in the South China Sea based on the coupled sea-air model. Chinese Science Bulletin. 2018;63:3494-3504

[43] Wang T, Liu G, Gao L, Zhu L, Fu Q , Li D. Biological and nutrient responses

to a typhoon in the Yangtze estuary and the Adjacent Sea. Journal of Coastal Research. 2015;32:323-332

[44] Chen Z, Pan J, Jiang Y, Lin H. Far-reaching transport of Pearl River plume water by upwelling jet in the northeastern South China Sea. Journal of Marine Systems. 2017;173:60-69

[45] Zhang Z, Wu H, Yin X, Qiao F. Dynamics response of Changjiang River plume to a severe typhoon with the surface wave-induced mixing. Journal of Geophysical Research, Oceans. 2018;123:9369-9388. DOI: 10.1029/2018JC014266

[46] Hu J, Wang X. Progress on

upwelling studies in the China seas. Reviews of Geophysics. 2016;54:653-673

[47] Tsai Y, Chung C, Chung C, Gau H, Lai W, Liao S. The impact of typhoon Morakot on heavy metals of Dapeng Bay and pollution from neighboring Rivers. Environmental Modeling and Assessment. 2016;21:479-487

[48] Jiang C, Wu Z, Chen J, Deng B, Long Y. Sorting and sedimentology character of sandy beach under wave action. Procedia Engineering. 2015;116:771-777

[49] Jiang C, Wu Z, Chen J, Deng B, Long Y, Li L. An available formula of the sandy beach state induced by plunging waves. Acta Oceanologica Sinica. 2017;36:91-100

[50] Huang W. Modelling the effects of typhoons on morphological changes in the estuary of Beinan, Taiwan. Continental Shelf Research. 2017;135:1-13

[51] Wu X, Wang H, Bi N, Song Z, Zang Z, Kineke G. Bio-physical changes in the coastal ocean triggered by

typhoon: A case of typhoon Meari in summer 2011. Estuarine, Coastal and Shelf Science. 2016;183:413-421

[52] Wang T, Liu G, Gao L, Zhu L, Fu Q , Li D. Biological responses to nine powerful typhoons in the East China Sea. Regional Environmental Change. 2017;17:465-476

[53] Dai Z, Mei X, Darby S, Lou Y, Li W. Fluvial sediment transfer in the Changjiang (Yangtze) river-estuary depositional system. Journal of Hydrology. 2018;566:719-734

[54] Chen N, Krom M, Wu Y,

Yu D, Hong H. Storm induced estuarine turbidity maxima and controls on nutrient fluxes across river-estuary-coast continuum. Science of the Total Environment. 2018;628:1108-1120

[55] Xu J, Wang N, Li G, Dong P, Li J, Liu S, et al. The dynamic responses of flow and near-bed turbidity to typhoons on the continental shelf of the East China Sea: Field observations. Geological Journal. 2016;51:12-21

[56] Bernardo L, Nadaoka K, Nakamura T, Watanabe A. Island-enhanced cooling mechanism in typhoon events revealed by field observations and numerical

simulations for a coral reef area, Sekisei lagoon, Japan. Ocean Dynamics.

2017;67:1369-1384

[57] Zhang H, Chen D, Zhou L, Liu X, Ding T, Zhou B. Upper Ocean response to typhoon Kalmaegi (2014). Journal of Geophysical Research, Oceans. 2016;121:6520-6535

[58] Sun J, Oey L, Chang R, Xu F, Huang S. Ocean response to typhoon Nuri (2008) in western Pacific and South China Sea. Ocean Dynamics. 2015;65:735-749

[59] Lin I. Typhoon-induced

phytoplankton blooms and primary productivity increase in the western North Pacific subtropical ocean. Journal of Geophysical Research, Oceans. 2012;117:C03039

[60] Liu F, Tang S. Influence of the interaction between typhoons and oceanic Mesoscale eddies on phytoplankton blooms. Journal of Geophysical Research, Oceans. 2018;123:2785-2794

[61] Li T, Bai Y, He X, Chen X, Chen C-TA, Tao B, et al. The relationship between POC export efficiency and primary production: Opposite on the shelf and basin of the northern South China Sea. Sustainability. 2018;10:3634

[62] Tsai Y, Chern C, Jan S,

Wang J. Numerical study of cold dome variability induced by typhoon Morakot (2009) off northeastern Taiwan. Journal of Marine Research. 2013;71:109-131

[63] Li D, Huang C. The influences of orography and ocean on track of typhoon Megi (2016) past Taiwan as identified by HWRF. Journal of Geophysical Research-Atmospheres. 2018;123:11,492-11,517

[64] Wu R, Li C. Upper ocean response to the passage of two sequential

typhoons. Deep-Sea Research Part I. 2018;132:68-79

[65] Yue X, Zhang B, Liu G, Li X, Zhang H, He Y. Upper ocean response to typhoon Kalmaegi and Sarika in the South China Sea from multiple-satellite observations and numerical simulations. Remote Sensing. 2018;10:348

[66] Pujiana K, Moum J, Smyth W. The role of turbulence in redistributing upper-ocean heat, freshwater, and momentum in response to the MJO in the equatorial Indian ocean. Journal of Physical Oceanography. 2018;48:197-220

[67] Zhang X, Chu P, Li W,

Liu C, Zhang L, Shao C, et al. Impact of langmuir turbulence on the thermal response of the ocean surface mixed layer to Supertyphoon Haitang (2005). Journal of Physical Oceanography. 2018;48:1651-1674

[68] Balaguru K, Foltz G, Leung L, Emanuel K. Global warming-induced upper-ocean freshening and the intensification of super typhoons. Nature Communications. 2016;7:13670

[69] Lee J, Moon I, Moon J, Kim S, Jeong Y, Koo J. Impact of typhoons on the Changjiang plume extension in the yellow and East China seas. Journal of Geophysical Research, Oceans. 2017;122:4962-4973

[70] Nakada S, Kobayashi S, Hayashi M, Ishizaka J, Akiyama S, Fuchi M, et al. High-resolution surface salinity maps in coastal oceans based on geostationary ocean color images: Quantitative analysis of river plume dynamics. Journal of Oceanography. 2018;74:287-304

[71] Rudzin J, Shay L, Johns W. The influence of the barrier layer on SST response during tropical cyclone wind forcing using idealized experiments. Journal of Physical Oceanography. 2018;48:1951-1968

[72] Lengaigne M, Neetu S, Samson G, Vialard J, Krishnamohan K, Masson S, et al. Influence of air–sea coupling on Indian ocean tropical cyclones. Climate Dynamics. 2019;52:577-598

[73] Steffen J, Bourassa M. Barrier layer development local to tropical cyclones based on Argo float observations. Journal of Physical Oceanography. 2018;48:1951-1968

[74] Wu Z, Chen J, Jiang C, et al. Numerical investigation of Typhoon Kai-tak (1213) using a mesoscale coupled WRF-ROMS model—Part II: Wave effects[J]. Ocean Engineering; 2020;196:106805

[75] Blumberg AF, Georgas N, Yin L, et al. Street-scale modeling of storm surge inundation along the New Jersey Hudson river waterfront. Journal of

Atmospheric and Oceanic Technology. 2015;32(8):1486-1497

[76] Blumberg AF, Mellor GL. A description of a three-dimensional coastal ocean circulation model. In: Three-Dimensional Coastal Ocean Models. Washington, USA; 1987. pp. 1-16

[77] Chen T, Zhang Q , Wu Y, et al. Development of a wave-current model through coupling of FVCOM and SWAN. Ocean Engineering. 2018;164:443-454

[78] Chen S, Qian YK, Peng S. Effects of various combinations of boundary layer schemes and microphysics schemes on the track forecasts of tropical cyclones over the South China Sea. Natural Hazards. 2015;78(1):61-74

[79] Craig AP, Jacob R, Kauffman B, et al. CPL6: The new extensible, high performance parallel coupler for the community climate system model. The International Journal of High Performance Computing Applications. 2005;19(3):309-327

[80] Di Liberto T, Colle BA, Georgas N, et al. Verification of a multimodel storm surge ensemble around new York City and Long Island for the cool season. Weather and Forecasting. 2011;26(6):922-939

[81] Forbes C, Rhome J, Mattocks C, et al. Predicting the storm surge threat of hurricane Sandy with the National weather service SLOSH model. Journal of Marine Science and Engineering. 2014;2(2):437-476

[82] Ge Z, Dai Z, Pang W, et al. LIDAR-based detection of the post-typhoon recovery of a meso-macro-tidal beach in the Beibu gulf, China. Marine Geology. 2017;391:127-143

[83] Haidvogel DB, Arango H,

in terrain-following coordinates: Formulation and skill assessment of the regional ocean modeling system. Journal of Computational Physics. 2008;227(7):3595-3624

[84] Hu D, Wu L, Cai W, et al. Pacific western boundary currents and their roles in climate. Nature. 2015;522(7556):299

[85] Hu K, Chen Q , Wang H. A

numerical study of vegetation impact on reducing storm surge by wetlands in a semi-enclosed estuary. Coastal Engineering. 2015;95:66-76

[86] Islam T, Srivastava PK, Rico- Ramirez MA, et al. Tracking a tropical cyclone through WRF–ARW simulation and sensitivity of model physics.

Natural Hazards. 2015;76(3):1473-1495

[87] Jelesnianski CP, Chen J,

Shaffer WA. SLOSH: Sea, lake, and overland surges from hurricanes. In: National Weather Service. USA; 1992

[88] Jones PW. A Users Guide for SCRIP: A Spherical Coordinate Remapping and Interpolation Package. Los Alamos National Laboratory; 1998. Available from: http://climate.lanl.gov/Software/ SCRIP/

[89] Lakshmi DD, Murty PLN,

Bhaskaran PK, et al. Performance of WRF-ARW winds on computed storm surge using hydodynamic model for Phailin and Hudhud cyclones. Ocean Engineering. 2017;131:135-148

[90] Laprise R. The Euler equations of motion with hydrostatic pressure as an independent variable. Monthly Weather Review. 1992;120(1):197-207

[91] Li M, Zhong L, Boicourt WC, et al. Hurricane-induced storm surges, currents and destratification in a semi-enclosed bay. Geophysical Research Letters. 2006;33(2):L02604

[92] Li Y, Peng S, Yan J, et al. On improving storm surge forecasting using an adjoint optimal technique. Ocean Modelling. 2013;72:185-197

[93] Liu D, Pang L, Xie B. Typhoon disaster in China: Prediction,

prevention, and mitigation. Natural Hazards. 2009;49(3):421-436

[94] Liu N, Ling T, Wang H, et al. Numerical simulation of typhoon Muifa (2011) using a coupled ocean-atmosphere-wave-sediment transport (COAWST) modeling system.

Journal of Ocean University of China. 2015;14(2):199-209

[95] Mei X, Dai Z, Darby SE, et al.

Modulation of extreme flood levels by impoundment significantly offset by floodplain loss downstream of the three gorges dam. Geophysical Research Letters. 2018;45(7):3147-3155

[96] Mooney PA, Mulligan FJ, Bruyère CL, et al. Investigating the performance of coupled WRF-ROMS simulations of hurricane Irene (2011) in a regional climate modeling framework. Atmospheric Research. 2019;215:57-74

[97] Neumann JE, Emanuel K, Ravela S, et al. Joint effects of storm surge and sea-level rise on US coasts: New economic estimates of impacts, adaptation, and benefits of mitigation policy. Climatic Change. 2015;129(1-2):337-349

[98] Pattanayak S, Mohanty UC, Rao AD. Simulation of storm surges in the bay of Bengal using one-way coupling between NMM-WRF and IITD storm surge model. Marine Geodesy. 2016;39(5):376-400

[99] Rego JL, Li C. Nonlinear terms in storm surge predictions: Effect of tide and shelf geometry with case study from hurricane Rita. Journal of Geophysical Research, Oceans. 2010;115(C6). DOI: 10.1029/2009JC005285